medicine – DFKI – Interactive Machine Learning Lab

Natural Language Processing

Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types

Figure 1. An overview of the transfer learning framework with BERT-SNER. Information extraction from clinical text has the potential for clinical research and personalized care, but annotating large data for customized requirements is prohibitive. We present a German medical Named Entity Recognition (NER) system (Liang et al., 2023) that transfers Read more…

By Franziska Scheurer, 2 monthsJuly 19, 2023 ago

Full Paper accepted at AAAI 2023

Duy Nguyen from the Interactive Machine Learning department, along with collaborators from the University of Oldenburg, the University of Texas at Austin, the University of California San Diego, and others, presented a full paper at AAAI 2023. This year’s conference was held in Washington, D.C., USA from February 7th-14th 2023 Read more…

By Franziska Scheurer, 7 monthsFebruary 14, 2023 ago

Natural Language Processing

Fine-tuning BERT models for summarizing German radiology findings

Figure 1: The interface guides annotators in human evaluation. Snippet A displays the original oncology report with highlighted sentences extracted automatically. Snippet C lets annotators choose the model for generation, showing its architecture. The middle section (B) presents the chosen model’s generation results, with green words denoting the most learned Read more…

By Franziska Scheurer, 1 yearAugust 19, 2022 ago